lu-wang-g 65f8703572 Flatbuffers Python Object API (#5616)
* Flatbuffers Python Object API

Implement the logic to generate the Python object API that can
unpack the data from a buf class into an object class, and pack
the data of an object class to a buf class.

* Fix the build issues

Remove unused parameters and replace auto in the for-loop statement
with std::string to make it compatible with VS2010.

* Fix the build issues.

* Add support for Array type

Added logic to handle Array type in Python Object API. Updated the
generated code accordingly.

* Fix the old style casting from int to char

* Fixed another conversion from int to char

* Fixed the import for typing

Importing typing may cause errors when a machine do not have the
moduel typing installed. This PR fixes the issue by guarding
"import typing" with the "try/except" statement.

* Fix issue of iterating the vector of import list

* Update the generated examples using generate_code.sh

* Fix the import order for typing

The import list was stored in unordered_set, so that each generated
codes may have different import order. Therefore, it failed in the
consistency test where two generated copies need to have exactly the
same apperance.

* Optimize unpack using numpy

Use numpy to unpack vector whenever it is possible to improve unpack
performance.

Also, added codegen command for Python specificly in generate_code.sh,
because --no-includes cannot be turn on for Python.

* Fix the import order

* Update generate_code.bat for windows accordingly

* Replace error message with pass

Avoid printing error message for every Python2 users about typing.
Replace it with pass.
2019-12-02 14:11:28 -08:00
2019-02-21 20:06:04 +01:00
2019-05-16 11:43:31 -07:00
2019-11-14 15:46:46 -08:00
2019-12-02 14:11:28 -08:00
2019-04-24 11:34:53 -07:00
2018-09-21 10:42:00 -07:00

logo FlatBuffers

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FlatBuffers is a cross platform serialization library architected for maximum memory efficiency. It allows you to directly access serialized data without parsing/unpacking it first, while still having great forwards/backwards compatibility.

Go to our landing page to browse our documentation.

Supported operating systems

  • Windows
  • MacOS X
  • Linux
  • Android
  • And any others with a recent C++ compiler.

Supported programming languages

  • C++
  • C#
  • C
  • Dart
  • Go
  • Java
  • JavaScript
  • Lobster
  • Lua
  • PHP
  • Python
  • Rust
  • TypeScript

and more in progress...

Contribution

To contribute to this project, see CONTRIBUTING.

Licensing

Flatbuffers is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.


Description
FlatBuffers: Memory Efficient Serialization Library
Readme Apache-2.0 72 MiB
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